Instructions to use jonas-luehrs/bert-base-cased-textCLS-RHEOLOGY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonas-luehrs/bert-base-cased-textCLS-RHEOLOGY with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonas-luehrs/bert-base-cased-textCLS-RHEOLOGY")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonas-luehrs/bert-base-cased-textCLS-RHEOLOGY") model = AutoModelForSequenceClassification.from_pretrained("jonas-luehrs/bert-base-cased-textCLS-RHEOLOGY") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:306c7a9ea5a42c989bc250a1a53adb48cbb9fb134fab6dce622961c3d06573e9
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size 433279996
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